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<li>在我们提供的 <code>a{x}_env_v{y}.tar</code>（基于 NGC PyTorch）或 <code>a{x}_env_light_v{y}.tar</code>（基于 Ubuntu）的 Docker 镜像 tar 文件中，已传到到 NJU Box，你可以将任意一个下载到你的环境中使用。</li>
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<li>然后按照下面的示例命令一步一步操作：<figureclass="highlight bash"><table><tr><tdclass="gutter"><pre><spanclass="line">1</span><br><spanclass="line">2</span><br><spanclass="line">3</span><br><spanclass="line">4</span><br><spanclass="line">5</span><br><spanclass="line">6</span><br><spanclass="line">7</span><br><spanclass="line">8</span><br><spanclass="line">9</span><br><spanclass="line">10</span><br></pre></td><tdclass="code"><pre><spanclass="line"><spanclass="comment"># step0. assumming that the tar file "a{x}_env_light_v{y}.tar" is already downloaded into your private repo</span></span><br><spanclass="line"></span><br><spanclass="line"><spanclass="comment"># step1. run the given script to load the docker image (default the light one) and execute the container</span></span><br><spanclass="line">bash run_docker.sh <spanclass="comment"># or maybe you need run it with sudo</span></span><br><spanclass="line"></span><br><spanclass="line"><spanclass="comment"># step2. get into the repo path mounted into the container</span></span><br><spanclass="line"><spanclass="built_in">cd</span> a{x}_repo</span><br><spanclass="line"></span><br><spanclass="line"><spanclass="comment"># step3. run the test_with_ref.py</span></span><br><spanclass="line">pytest test_with_ref.py</span><br></pre></td></tr></table></figure></li>
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<li>我们提供<code>a_env_light_v{y}.tar</code>（基于 Ubuntu）的 Docker 镜像 tar 文件，已传到到 NJU Box（链接会在群公告中展示），你可以下载到你的环境中使用。</li>
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<li>然后按照下面的示例命令一步一步操作：<figureclass="highlight bash"><table><tr><tdclass="gutter"><pre><spanclass="line">1</span><br><spanclass="line">2</span><br><spanclass="line">3</span><br><spanclass="line">4</span><br><spanclass="line">5</span><br><spanclass="line">6</span><br><spanclass="line">7</span><br><spanclass="line">8</span><br><spanclass="line">9</span><br><spanclass="line">10</span><br><spanclass="line">11</span><br></pre></td><tdclass="code"><pre><spanclass="line"><spanclass="comment"># step0. assumming that the tar file "a_env_light_v{y}.tar" is already downloaded into your private repo</span></span><br><spanclass="line"></span><br><spanclass="line"><spanclass="comment"># step1. run the given script to load the docker image (default the light one) and execute the container</span></span><br><spanclass="line">bash run_docker.sh <spanclass="comment"># or maybe you need run it with sudo</span></span><br><spanclass="line"><spanclass="comment">#this script assume that your machine has an avaliable nvidia gpu.If not,you should to change the option in it ,and change the fixed device in test_with_ref.py.</span></span><br><spanclass="line"></span><br><spanclass="line"><spanclass="comment"># step2. get into the repo path mounted into the container</span></span><br><spanclass="line"><spanclass="built_in">cd</span> a{x}_repo</span><br><spanclass="line"></span><br><spanclass="line"><spanclass="comment"># step3. run the test_with_ref.py</span></span><br><spanclass="line">pytest test_with_ref.py</span><br></pre></td></tr></table></figure></li>
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